The objective of extended object tracking is to simultaneously track a target object and estimate its shape. As a consequence, it becomes necessary to incorporate both location and shape errors in the performance assessment of extended object tracking methods. In this work, we highlight the difficulties of selecting a proper metric for this purpose and discuss currently used metrics from literature. Furthermore, we suggest the Gaussian Wasserstein metric for comparing elliptic shapes and illustrate its advantages.

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BibTeX @conference{Yang2016,author={Yang, S. and Baum, M. and Granström, Karl},title={Metrics for performance evaluation of elliptic extended object tracking methods},booktitle={IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems},isbn={978-1-4673-9708-7},pages={523-528},abstract={The objective of extended object tracking is to simultaneously track a target object and estimate its shape. As a consequence, it becomes necessary to incorporate both location and shape errors in the performance assessment of extended object tracking methods. In this work, we highlight the difficulties of selecting a proper metric for this purpose and discuss currently used metrics from literature. Furthermore, we suggest the Gaussian Wasserstein metric for comparing elliptic shapes and illustrate its advantages.},year={2016},}

RefWorks RT Conference ProceedingsSR ElectronicID 248773A1 Yang, S.A1 Baum, M.A1 Granström, KarlT1 Metrics for performance evaluation of elliptic extended object tracking methodsYR 2016T2 IEEE International Conference on Multisensor Fusion and Integration for Intelligent SystemsSN 978-1-4673-9708-7SP 523OP 528AB The objective of extended object tracking is to simultaneously track a target object and estimate its shape. As a consequence, it becomes necessary to incorporate both location and shape errors in the performance assessment of extended object tracking methods. In this work, we highlight the difficulties of selecting a proper metric for this purpose and discuss currently used metrics from literature. Furthermore, we suggest the Gaussian Wasserstein metric for comparing elliptic shapes and illustrate its advantages.LA engDO 10.1109/MFI.2016.7849541LK http://dx.doi.org/10.1109/MFI.2016.7849541OL 30